Update app.py

app.py

@@ -17,7 +17,10 @@ dtype = torch.float16
 vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
 
 repo = "fluently/Fluently-XL-Final"
-pipe = StableDiffusionXLPipeline.from_pretrained(repo, torch_dtype=torch.float16, vae=vae).to(device)
+pipe = StableDiffusionXLPipeline.from_pretrained(repo, torch_dtype=torch.float16, vae=vae)
+pipe.load_lora_weights("KingNish/Better-Image-XL-Lora", weight_name="example-03.safetensors", adapter_name="lora")
+pipe.set_adapters("lora")
+pipe.to("cuda")
 
 help_text = """
 To optimize image results: